Advanced Robotic Systems Lead
- Auburn Hills, MI, United States
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Job details
- Posting language
- English
Original job description
The Advanced Robotic Systems Lead drives the strategic development and deployment of next‑generation robotic technologies - such as humanoids, intelligent AMRs, and multi-mobile robotic ecosystems - to enhance operational excellence, product quality, and workplace safety across industrial environments. The role ensures that robotics becomes a competitive advantage, accelerating the company’s transition toward Industry 5.0.
Core Leadership Responsibilities:
- Technology Vision & Roadmap Define and steer the company’s robotics innovation strategy, identifying disruptive solutions (AI-enabled robotics, advanced vision systems, intelligent sensing) and translating them into scalable industrial applications.
- End-to-End Program Leadership Oversee the full lifecycle of advanced robotics initiatives - from concept and simulation to industrial deployment - ensuring alignment with business priorities and maximizing ROI.
- Operational Performance & Productivity Guarantee performance excellence of robotic systems, leveraging KPI-driven governance (efficiency, cycle time, system uptime) to improve throughput and reduce operational losses.
- Regulatory Compliance & Safety Governance Ensure all robotic applications comply with international safety standards (e.g., ISO 10218, Machinery Directive), establishing a robust risk‑management and safety framework.
- High-Performing Team Leadership Build, mentor, and empower a multidisciplinary technical organization (robotics engineers, automation experts, PLC/robot programmers), fostering a culture of innovation and continuous improvement.
- Digital Integration & Industry 5.0 Enablement Guide the convergence of robotics with enterprise IT/OT architectures, enabling data-driven operations, autonomous decision-making, and collaborative human-robot work environments.
Executive Competencies:
- Strategic Foresight: Ability to detect emerging trends in robotics and translate them into competitive advantage.
- Innovation Leadership: Proven track record in introducing frontier technologies into complex industrial settings.
- Cross-Functional Influence: Skilled in aligning engineering, operations, IT, and safety organizations toward shared transformation goals.
- Decision-Making Under Complexity: Comfortable managing high-impact, multi-site, technology-intensive programs.
- Change Management: Ability to lead organizational transformation linked to automation and advanced robotics adoption.
Basic Qualifications:
- Bachelor’s degree in Robotics, Mechanical Engineering, Electrical Engineering, Mechatronics, or related engineering field
- Minimum 8 years of experience in robotics, automation, or advanced manufacturing systems (automotive or industrial environment preferred)
- Experience leading a team and managing direct employees.
Preferred Qualifications:
- Master’s or PhD in Robotics, Automation, Artificial Intelligence, or related field
- Knowledge of automotive manufacturing processes and plant operations
- Experience in:
- Vision systems and perception (AI/ML applied to robotics)
- Human-robot collaboration (cobotics)
- Experience with robot simulation, digital twins, or virtual commissioning tools
Key Skills:
- Strong ability to translate innovation into deployable industrial solutions
- Expertise in end-to-end project lifecycle (concept → pilot → industrialization → deployment)
- Leadership & stakeholder management across engineering, manufacturing, and suppliers
- Advanced analytical, synthesis, and problem-solving capabilities
- Agile mindset with experience in fast-paced innovation environments
- Familiarity with Functional Safety (ISO 10218 / ISO 13849 / ISO 26262)
- Fluent English
More about this job
Skills
- Leadership
- Regulatory compliance
- Team leadership
- PLC
- Decision making
- Robotics
- Change management
- Mechanical engineering
- Electrical engineering
- Mechatronics
- Apply advanced manufacturing
- Lead a team
- Artificial intelligence
- Manufacturing processes
- ML
- Collaboration
- Stakeholder management
- Problem solving
- Agile